Personalysis and Strength Finder Analytics for the PSJH Clinical Analytics Team
Update: 09 April, 2021 (T. French)
Respondents: (n=44)
Clustering is a simple unsupervised learning technique that seeks to cluster caregivers into homogeneous or similar subgroups (4) based on a combination of Personalysis dimension and color response scores.
Foward focused - Fast - Initiate & Implement
Foward focused - Fast - Direct
Foward focused - Fast - Target task
Foward focused - Fast - [Collapsed]
Foward focused - Fast - [Commit: Collapsed Colors]
Anticipate Create clarity.
Clustering among the following groups (names with avg. scores below)
Clustering among the following groups (names with scores below)
Innovate & Explore
Clustering among the following groups (names with scores below)
Inquisitive & Clarifying
Clustering among the following groups (names with scores below)
Purpose & Context
###Commitment
Maintain stability Organization.
Clustering among the following groups (names with avg. scores below)
Clustering among the following groups (names with scores below)
Organize & Replicate
Clustering among the following groups (names with scores below)
Specific & Confirming
Clustering among the following groups (names with scores below)
Predictability & Process
Adapt Flexible.
Clustering among the following groups (names with avg. scores below)
Clustering among the following groups (names with scores below)
Serve & Support
Clustering among the following groups (names with scores below)
Diplomatic & General
Clustering among the following groups (names with scores below)
Options & Opinions
Respondents: Andrew Bennett, Ari Robicsek, Ashley Snoddy, Caleb Stowell, Firouzeh Manucheri, Ford Parsons, Gino Conconi, Jacob Lippa, Jacob VanderKam, Jessica Swann, Keyana Azari, Laurel Kirby, Linda Doan-Huynh, Lizbeth McNeil, Said Sariolghalam, Sarah Nurse, Susan Hermanto, Susan Pollock, Thomas French, Vandana Kapoor (n=20)
Top Five Strengths: By Responder
All Top Five Strengths
All Top Five Strengths - Ordered